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---
license: mit
language:
- en
base_model:
- google-bert/bert-base-uncased
pipeline_tag: token-classification
tags:
- code
---
## 1. Model Details
{'train_samples_per_second': 12.608, 'train_steps_per_second': 1.576, 'train_loss': 0.0037266844895964594, 'epoch': 3.0}
## 2. Model Description
This model is designed to perform POS tagging for English text. CLAWS (the Constituent Likelihood Automatic Word-tagging System) has been continuously developed since the early 1980s. The latest version of the tagger, CLAWS1, uses the C7 tagset.
## ⚙️3. How to Get Started with the Model
For examples, please refer to the Python code available at this link (https://mp.weixin.qq.com/s/Nvp1szw-U9YeWEL48ztz4A).
## 🤝 4. Model Card Contact
Author: Pan Guisheng, a PhD student at the Graduate Institute of Interpretation and Translation of Shanghai International Studies University Email: 895284504@qq.com |